Modifying the fitness function during the use of an evolutionary algorithm for design.
Andrés Gómez de Silva GarzaPublished in: CEC (2016)
Keyphrases
- evolutionary algorithm
- fitness function
- genetic programming
- evolutionary computation
- evolutionary search
- multi objective
- genetic algorithm ga
- genetic algorithm
- genetic operators
- optimization problems
- constrained optimization problems
- design process
- evolutionary strategy
- evolutionary process
- crossover operator
- differential evolution
- simulated annealing
- search space
- mutation operator
- initial population
- fitness evaluation
- evolution strategy
- multi objective optimization
- penalty function
- nsga ii
- crossover and mutation
- fitness landscape
- particle swarm
- optimization method
- computational intelligence
- search algorithm
- neural network